Course Purpose
This course was designed to equip students with the knowledge and skills necessary to effectively leverage technology for managing HR functions. It aims to provide students with a deep understanding of HRIS principles, implementation strategies, and best practices. By integrating theoretical concepts with hands-on experience, you will be prepared to analyze, design, and implement HRIS solutions that enhance organizational efficiency, data-driven decision-making and strategic HR management
Course Learning Outcomes
CLO 1. Define the key concepts and components of Human Resource Information Systems.
CLO2. Describe proficiency in using various HRIS software and tools.
CLO3. Evaluate the steps involved in the selection and implementation of HRIS.
CLO4. Utilise HRIS data for strategic workforce planning and talent management.
Course Content
Fundamentals of HRIS: Overview of HRIS concepts; Components of HRIS; Evolution of HR technology; Benefits and challenges of HRIS adoption.
HRIS Software and Tools: Types of HRIS software; Features and functionalities of HRIS tools; Data entry and management in HRIS; Reporting and analytics capabilities.
HRIS Implementation and Integration: Steps in HRIS selection and implementation; Integration with other organizational systems; Change management strategies; User training and support.
HRIS Data Management: Data collection and storage in HRIS; Data security and privacy; Data validation and quality assurance; Compliance with data protection regulations.
HRIS Reporting and Analytics: Types of HR reports generated by HRIS; HR metrics and key performance indicators (KPIs); Data visualization techniques; Using analytics for strategic decision-making.
Strategic Use of HRIS: HRIS in workforce planning and talent management; Performance management using HRIS; Employee engagement and retention strategies; HRIS in organizational development initiatives.
Emerging Trends in HR Technology: Cloud-based HRIS solutions; Mobile HR applications; Artificial intelligence and machine learning in HRIS; Blockchain technology in HR data management.
HRIS Case Studies and Best Practices: Success stories of HRIS implementation; Challenges faced and lessons learned; Best practices for maximizing HRIS effectiveness; Benchmarking HRIS performance against industry standards.
Ethical and Legal Considerations in HRIS: Ethical issues in HR data management; Ensuring data privacy and confidentiality; Compliance with labour laws and regulations; Ethical implications of HRIS analytics and decision-making.
Future Directions of HRIS: Predictive analytics and forecasting in HRIS; Integration of HRIS with artificial intelligence; HRIS implications for remote and hybrid work models; Innovations in HR technology shaping the future of HRIS.